An Improved Particle Filter for Tracking Color Object

@article{Zhang2008AnIP,
  title={An Improved Particle Filter for Tracking Color Object},
  author={Tao Zhang and Shumin Fei and Xiaodong Li and Hong Lu},
  journal={2008 International Conference on Intelligent Computation Technology and Automation (ICICTA)},
  year={2008},
  volume={2},
  pages={109-113}
}
Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is robust to partial occlusion, is rotation and scale invariant and computationally efficient. Particle filter has been proven very successful for non-linear and non-Gaussian estimation tracking problems. The article presents the integration of color distributions into particle… CONTINUE READING